Metal Foreign Object Detection Algorithm Based On Multivariate Normal Distribution For Wireless Power Transfer System

When the wirless power transfer system works, the problem of metal foreign object detection needs to be solved urgently. The traditional metal foreign object detection algorithm based on the change of single detection coil’s impedance is difficult to detect the metal foreign object at the corner of the detection coil. The metal foreign object detection algorithm based on multivariate normal distribution is proposed in this paper. The output can change more than 50 times when a metal foreign object with a diameter of 19mm is placed at the corner of the detection coil with a size of 32mm×38mm, which can significantly improve the detection effect of the corner area of the detection coil.